Molgenis-impute: imputation pipeline in a box

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Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank.Cohort Profile: The Nijmegen Biomedical Study (NBS).

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Molgenis-impute: imputation pipeline in a box

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Molgenis-impute: imputation pipeline in a box

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Molgenis-impute: imputation pipeline in a box

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Molgenis-impute: imputation pipeline in a box

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Molgenis-impute: imputation pipeline in a box

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Alexandros Kanterakis

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Freerk van Dijk

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Heorhiy Byelas

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Martijn Dijkstra

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Patrick Deelen

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Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies

Best practices for scientific computing

Imputation of sequence variants for identification of genetic risks for Parkinson's disease: a meta-analysis of genome-wide association studies

A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals

PLINK: a tool set for whole-genome association and population-based linkage analyses

myGrid: personalised bioinformatics on the information grid

The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud

A rare variant in MYH6 is associated with high risk of sick sinus syndrome

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s13104-015-1309-3

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scholarly article

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10.1186/S13104-015-1309-3

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Morris A Swertz

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2015-08-19T00:00:00Z

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281173054

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Molgenis-impute: imputation pipeline in a box

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Molgenis-impute: imputation pipeline in a box

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P1476

P2093

P2860

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P356

P1433

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P478

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P5875

P6179

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